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Hello, people from the future welcome to Normalized Nerd! Today well set up our camp in the Random Forest. First, well see why the random forest is better than our good old decision trees, and then Ill explain how it works with visualizations. If you wanna see more videos like this, please subscribe to my channel and hit the bell icon because I make videos about machine learning and data science regularly. So without further ado lets get started. To begin our journey, we need a dataset. Here Im taking a small dataset with only 6 instances and 5 features. As you can see the target variable y takes 2 values 0 and 1 hence its a binary classification problem. First of all, we need to understand why do we even need the random forest when we already have decision trees. Lets draw the decision tree for this dataset. Now if you dont know what a decision tree really is or how it is trained then Id highly recommend you to watch my previous video. In short, a decision tree splits the dat
